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International Conference on Computational Logistics

ICCL 2016: Computational Logistics pp 337–351Cite as

The Static Bicycle Repositioning Problem - Literature Survey and New Formulation

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9855)

Abstract

This paper considers the static bicycle repositioning problem (SBRP), which deals with optimally re-balancing bike sharing systems (BSS) overnight, i.e. using service vehicles to move bikes from (nearly) full stations to (nearly) empty stations. An exhaustive literature survey comparing existing models is presented, and a new and improved mathematical formulation for the SBRP is proposed. The model is tested on a number of instances generated based on data from a real BSS.

Keywords

  • Valid Inequality
  • Bender Decomposition
  • Vehicle Capacity
  • Large Neighborhood Search
  • Delivery Station

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Trondheim, Norway

    Hans Martin Espegren, Johannes Kristianslund, Henrik Andersson & Kjetil Fagerholt

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  1. Hans Martin Espegren
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  2. Johannes Kristianslund
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  3. Henrik Andersson
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  4. Kjetil Fagerholt
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Correspondence to Henrik Andersson .

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Editors and Affiliations

  1. Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal

    Ana Paias

  2. University of Vienna , Vienna, Austria

    Mario Ruthmair

  3. University of Hamburg , Hamburg, Hamburg, Germany

    Stefan Voß

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Espegren, H.M., Kristianslund, J., Andersson, H., Fagerholt, K. (2016). The Static Bicycle Repositioning Problem - Literature Survey and New Formulation. In: Paias, A., Ruthmair, M., Voß, S. (eds) Computational Logistics. ICCL 2016. Lecture Notes in Computer Science(), vol 9855. Springer, Cham. https://doi.org/10.1007/978-3-319-44896-1_22

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  • DOI: https://doi.org/10.1007/978-3-319-44896-1_22

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  • Online ISBN: 978-3-319-44896-1

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